The capacity of feedforward neural networks

The capacity of feedforward neural networks

2 January 2019

Roman Vershynin

Papers citing "The capacity of feedforward neural networks"

8 / 8 papers shown

Title
Improving Self-Supervised Learning by Characterizing Idealized Representations Yann Dubois Tatsunori Hashimoto Stefano Ermon Percy Liang SSL 83 41 0 13 Sep 2022
Improved Overparametrization Bounds for Global Convergence of Stochastic Gradient Descent for Shallow Neural Networks Bartlomiej Polaczyk J. Cyranka ODL 33 3 0 28 Jan 2022
VC dimension of partially quantized neural networks in the overparametrized regime Yutong Wang Clayton D. Scott 25 1 0 06 Oct 2021
An Introduction to Variational Inference Ankush Ganguly Samuel W. F. Earp BDL 15 20 0 30 Aug 2021
A theory of capacity and sparse neural encoding Pierre Baldi Roman Vershynin 17 3 0 19 Feb 2021
The power of quantum neural networks Amira Abbas David Sutter Christa Zoufal Aurelien Lucchi Alessio Figalli Stefan Woerner 33 726 0 30 Oct 2020
Memory capacity of neural networks with threshold and ReLU activations Roman Vershynin 31 21 0 20 Jan 2020
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 135 258 0 16 Dec 2016